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Ni, Aohua; Cheung, Alan – Education and Information Technologies, 2023
Previous studies have demonstrated the effectiveness of intelligent tutoring systems (ITS) in facilitating English learning. However, no empirical research has been conducted on secondary students' intention to use ITSs in the language domain. This study proposes an extended technology acceptance model (TAM) to predict secondary students'…
Descriptors: Intelligent Tutoring Systems, English (Second Language), Second Language Learning, Second Language Instruction
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Zhang, Yanhui; MacWhinney, Brian – Language Testing in Asia, 2023
Second language acquisition (SLA) is complex and multidimensional. Using the framework of the unified competition model (UCM), the current study explores how robust learning and testing of Chinese Pinyin are fostered by optimal integration of different kinds of feedback in an intelligent computer-assisted language learning (CALL) environment…
Descriptors: Second Language Learning, Second Language Instruction, Chinese, Language Proficiency
Pratt, Catherine; Chojnacki, Greg; Conroy, Kara – Mathematica, 2023
Cignition delivers virtual tutoring in math and ELA, led by experienced educators. Their approach focuses on data-informed instruction and collaborative learning that encourages student-to-student interaction to build students' conceptual understanding. After a 2020 efficacy study of its 1:1 math tutoring offering, Cignition developed a group…
Descriptors: Mathematics Instruction, Cooperative Learning, Costs, Educational Quality
De Witte, Kristof; François, Maxime – European Commission, 2023
The aim of this report is threefold. Its first section provides an overall sketch of the situation across Europe and the underlying mechanisms for the differences in European countries. The second section focuses on the heterogeneities within each country. It examines the disparities among students in order to understand which of those correlate…
Descriptors: Foreign Countries, COVID-19, Pandemics, Achievement Gains
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Brown, Lindsay E.; Kim, Ha Yeon; Tubbs Dolan, Carly; Brown, Autumn; Sklar, Jennifer; Aber, J. Lawrence – Journal of Research on Educational Effectiveness, 2023
Despite substantial cross-national interest in remedial programming as a way to support low-achieving students, evidence of its effectiveness is rare, particularly in low-income and/or crisis-affected contexts. In this article, we present experimental evidence of the impact of a remedial tutoring program on academic outcomes from a two-level…
Descriptors: Low Income Groups, Foreign Countries, Low Achievement, Program Effectiveness
Lindsay Brown; Kalina Gjicali; Ha Yeon Kim; Carly Tubbs Dolan; Paul Frisoli; Mahmoud Bwary; J. Lawrence Aber – AERA Open, 2023
Despite widespread enthusiasm for remedial education programming with refugee populations, there is little rigorous evidence on how to design and implement such programs. We employ a cluster-randomized design of non-equivalent treatment groups to test the impact of access to two types of program enhancement: longer program duration and the…
Descriptors: Program Evaluation, Refugees, Foreign Countries, Social Emotional Learning
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Fang, Ying; Lippert, Anne; Cai, Zhiqiang; Chen, Su; Frijters, Jan C.; Greenberg, Daphne; Graesser, Arthur C. – International Journal of Artificial Intelligence in Education, 2022
A common goal of Intelligent Tutoring Systems (ITS) is to provide learning environments that adapt to the varying abilities and characteristics of users. This type of adaptivity is possible only if the ITS has information that characterizes the learning behaviors of its users and can adjust its pedagogy accordingly. This study investigated an…
Descriptors: Intelligent Tutoring Systems, Classification, Reading Comprehension, Accuracy
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Gupta, Achala – Discourse: Studies in the Cultural Politics of Education, 2022
While a growing body of research shows the prevalence of private tutoring in India, the ways in which these informal educational setups gain social legitimacy remains largely unclear. To redress this gap in the scholarship, this article investigates institutional and affective tutoring practices, in relation to formal schooling. It draws on the…
Descriptors: Tutoring, Private Education, Educational Practices, Informal Education
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Tack, Anaïs; Piech, Chris – International Educational Data Mining Society, 2022
How can we test whether state-of-the-art generative models, such as Blender and GPT-3, are good AI teachers, capable of replying to a student in an educational dialogue? Designing an AI teacher test is challenging: although evaluation methods are much-needed, there is no off-the-shelf solution to measuring pedagogical ability. This paper reports…
Descriptors: Artificial Intelligence, Dialogs (Language), Bayesian Statistics, Decision Making
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Goldberg, Benjamin; Amburn, Charles; Ragusa, Charlie; Chen, Dar-Wei – International Journal of Artificial Intelligence in Education, 2018
The U.S. Army is interested in extending the application of intelligent tutoring systems (ITS) beyond cognitive problem spaces and into psychomotor skill domains. In this paper, we present a methodology and validation procedure for creating expert model representations in the domain of rifle marksmanship. GIFT (Generalized Intelligent Framework…
Descriptors: Psychomotor Skills, Intelligent Tutoring Systems, Program Validation, Models
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Zhu, Xin-Hua; Wu, Tian-Jun; Chen, Hong-Chao – Journal of Educational Computing Research, 2018
Based on the sharable content object concept of advanced distributed learning, an ontology-based intelligent content object (ICO) that can automatically reason and be reused is proposed. Then, by extending the advanced distributed learning or sharable content object reference model (SCORM) specification, an interoperable model for the ICO is…
Descriptors: Models, Intelligent Tutoring Systems, Computer Software, Multimedia Instruction
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Madaio, Michael; Lasko, Rae; Ogan, Amy; Cassell, Justine – International Educational Data Mining Society, 2017
Social relationships, such as interpersonal closeness or rapport, can lead to improved student learning, but such dynamic, interpersonal phenomena can be difficult for educational support technologies to detect. In this paper, we describe an approach for rapport detection in peer tutoring, using temporal association rules learned from nonverbal,…
Descriptors: Peer Teaching, Tutoring, Peer Relationship, Time
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Expósito-López, Jorge; Chacón-Cuberos, Ramón; Romero-Díaz de la Guardia, José Javier; Parejo-Jiménez, Noelia; Rodríguez-Fernández, Sonia; Estrada-Vidal, Ligia Isabel – Education Sciences, 2020
The school burnout of children, defined as physical and mental exhaustion due to a lack of adjustment to the educational context, constitutes a serious problem in contemporary education. Thus, the determination of the elements that influence it and the possible strategies for avoiding it are key in the process of improving children's well-being. A…
Descriptors: Burnout, Preadolescents, Elementary School Students, Tutoring
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Moumoulidou, Maria; Karadimitriou, Kostas; Pliogou, Vassiliki – International Journal of Psychology and Educational Studies, 2020
Peer tutoring has been implemented for two academic years (2017-18 and 2018-19) to a course and the internship of a postgraduate program of the Department of Education Sciences in Early Childhood of the Democritus University of Thrace. Until now fourteen students (eight students and six tutors) have been involved to the method. The purpose of this…
Descriptors: Peer Teaching, Tutoring, Tutors, Program Implementation
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Arhin, Vera; Laryea, John Ekow – Open Praxis, 2020
The tutor's role in enhancing student retention in distance learning is paramount. This study aims to predict retention and not actual retention by investigating how tutoring support predicts student retention in distance learning at the University of Cape Coast in Ghana. Moore Transactional Distance Theory underpinned the theoretical framework of…
Descriptors: Tutoring, Tutors, Academic Support Services, Predictor Variables
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